REAL-TIME ACCIDENT DETECTION AND EMERGENCY RESPONSE SYSTEM USING CCTV VIDEO ANALYSIS

Road traffic accidents in India remain a significant public health issue, resulting in frequent injuries and fatalities. Quick intervention is critical for improving survival rates, yet delays in emergency responses often obstruct timely care. This idea proposes an automated system that leverages computer vision to analyze real-time CCTV video streams, enabling fast accident detection and response. Our approach involves selecting key frames from the video, extracting important features, and using machine learning models to classify frames as containing accidents or not and as suggested in the future scope of the base paper we focus on integrating an automated alert dispatch system, which will trigger notifications to emergency services upon accident detection. This alert mechanism will provide real-time geolocation data of the incident ensuring rapid response and communication.